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    Home / Data Portal / NIDS / ZAF-SALDRU-NIDS-2014-2015-V2.0.0 / variable [V7201]
NIDS

National Income Dynamics Study 2014-2015, Wave 4

South Africa, 2014 - 2015
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Reference ID
zaf-saldru-nids-2014-2015-v2.0.0
Producer(s)
Southern Africa Labour and Development Research Unit,
Collections
National Income Dynamics Study African Centre of Excellence for Inequality Research Southern Africa Labour and Development Research Unit
Metadata
DDI/XML JSON
Created on
May 17, 2016
Last modified
Jul 18, 2023
Page views
1795873
Downloads
1182065
  • Study Description
  • Data Description
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  • Related Publications
  • Data files
  • Admin_W4_Anon_V2.0.0
  • Adult_W4_Anon_V2.0.0
  • Child_W4_Anon_V2.0.0
  • HHQuestionnaire_W4_Anon_V2.0.0
  • HouseholdRoster_W4_Anon_V2.0.0
  • indderived_W4_Anon_V2.0.0
  • Link_File_W4_Anon_V2.0.0
  • Proxy_W4_Anon_V2.0.0
  • hhderived_W4_Anon_V2.0.0

Household Pre-imputation Vehicle Debts (w4_pi_v_deb)

Data file: hhderived_W4_Anon_V2.0.0

Overview

Valid: 323
Invalid: 11566
Type: Discrete
Decimal: 0
Width: 9
Range: -9 - 10070000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Don't Know 0
0%
-8 Refused 0
0%
-5 Not Applicable 0
0%
-3 Missing 0
0%
28 1
0.3%
55 1
0.3%
1500 2
0.6%
1600 1
0.3%
1800 1
0.3%
1900 1
0.3%
2000 1
0.3%
2300 1
0.3%
2400 1
0.3%
2500 3
0.9%
2530 1
0.3%
2900 1
0.3%
3000 5
1.5%
3072 1
0.3%
3200 1
0.3%
3300 1
0.3%
3399 1
0.3%
3500 6
1.9%
3600 1
0.3%
3700 1
0.3%
4000 2
0.6%
4400 1
0.3%
4423 1
0.3%
5500 1
0.3%
5600 1
0.3%
5800 1
0.3%
6000 3
0.9%
7000 2
0.6%
7200 1
0.3%
9000 2
0.6%
9800 1
0.3%
10000 2
0.6%
11000 3
0.9%
12000 2
0.6%
12774 1
0.3%
13000 1
0.3%
14000 1
0.3%
15000 5
1.5%
16000 4
1.2%
16700 1
0.3%
17000 1
0.3%
18000 2
0.6%
20000 8
2.5%
22000 1
0.3%
23600 1
0.3%
25000 1
0.3%
26000 1
0.3%
27100 1
0.3%
30000 7
2.2%
31000 1
0.3%
32000 2
0.6%
33000 3
0.9%
35000 3
0.9%
37000 1
0.3%
38000 1
0.3%
40000 9
2.8%
42000 4
1.2%
43000 1
0.3%
45000 4
1.2%
46000 1
0.3%
47000 1
0.3%
49000 1
0.3%
50000 10
3.1%
51000 1
0.3%
53000 1
0.3%
56000 2
0.6%
59400 1
0.3%
60000 10
3.1%
60800 1
0.3%
61600 1
0.3%
64000 1
0.3%
65000 1
0.3%
66000 1
0.3%
67000 1
0.3%
70000 7
2.2%
73000 1
0.3%
73050 1
0.3%
75000 2
0.6%
79000 2
0.6%
80000 4
1.2%
82000 1
0.3%
84000 1
0.3%
85000 2
0.6%
87000 1
0.3%
88000 1
0.3%
89000 1
0.3%
90000 10
3.1%
92000 1
0.3%
95000 2
0.6%
96000 1
0.3%
100000 9
2.8%
110000 1
0.3%
112000 1
0.3%
115000 2
0.6%
120000 2
0.6%
123000 1
0.3%
124000 1
0.3%
125000 1
0.3%
130000 8
2.5%
130300 1
0.3%
134000 2
0.6%
135000 1
0.3%
140000 5
1.5%
145000 1
0.3%
150000 8
2.5%
160000 4
1.2%
164000 1
0.3%
170000 3
0.9%
172000 1
0.3%
175000 1
0.3%
180000 10
3.1%
184000 1
0.3%
189000 1
0.3%
195000 1
0.3%
200000 8
2.5%
200200 1
0.3%
204000 1
0.3%
210000 1
0.3%
220000 3
0.9%
225000 1
0.3%
230000 1
0.3%
240000 1
0.3%
250000 5
1.5%
254000 1
0.3%
258000 1
0.3%
259000 1
0.3%
260000 2
0.6%
264000 2
0.6%
270000 1
0.3%
276000 1
0.3%
280000 2
0.6%
300000 6
1.9%
304000 1
0.3%
330000 1
0.3%
339000 1
0.3%
341000 1
0.3%
350000 2
0.6%
360000 1
0.3%
390000 1
0.3%
400000 2
0.6%
410000 1
0.3%
430000 1
0.3%
460000 1
0.3%
478000 1
0.3%
500000 3
0.9%
610000 1
0.3%
700000 2
0.6%
730000 1
0.3%
760000 1
0.3%
1700000 1
0.3%
2900000 1
0.3%
10070000 1
0.3%
Sysmiss 11566
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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